{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T14:22:37Z","timestamp":1753885357677,"version":"3.41.2"},"reference-count":18,"publisher":"World Scientific Pub Co Pte Ltd","issue":"01n02","funder":[{"name":"The Scientific and Technological Research Council of Turkey","award":["120K594"],"award-info":[{"award-number":["120K594"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv. Data Sci. Adapt. Data Anal."],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:p> Spreading of novel coronavirus disease started in China and moved to Korea and Japan, then several countries in Europe, and the last step to the countries in the North and South American continents. Since the virus spread worldwide, we simultaneously use all available daily confirmed cases, recovered cases, and death data to cluster countries in time and spatial dimensions after adjusting for population. For this aim, time-series clustering with the dynamic time warping method is implemented and relevant clusters are marked on the world maps for a better visual understanding in this paper. Grouping countries will give an idea of the spread of the virus, guide decision-makers to implement future prevention vaccination policies, and help them generate global solutions against new virus variants. One of the main results obtained from the cluster analysis is that the European, North and South American continents have homogeneous structures regarding the number of daily confirmed cases per million and relatively more heterogeneous regarding the daily number of recoveries per million such that the overwhelming majority of countries are in the very high cluster. The absence of countries from the low or middle clusters indicates that these continents have to fight the virus more fiercely. African and Asian continents are heterogeneous in all cases. Therefore, these continents should focus on country-specific protections to fight against the virus. <\/jats:p>","DOI":"10.1142\/s2424922x2250005x","type":"journal-article","created":{"date-parts":[[2022,3,31]],"date-time":"2022-03-31T13:27:54Z","timestamp":1648733274000},"source":"Crossref","is-referenced-by-count":2,"title":["The Clustering Structure of the COVID-19 Outbreak in Global Scale"],"prefix":"10.1142","volume":"14","author":[{"given":"Fulya Gokalp","family":"Yavuz","sequence":"first","affiliation":[{"name":"Department of Statistics, Middle East Technical University, Ankara, 06800, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye\u015fim","family":"G\u00fcney","sequence":"additional","affiliation":[{"name":"Department of Statistics, Ankara University, Ankara, 06100, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"\u015eenay","family":"\u00d6zdemir","sequence":"additional","affiliation":[{"name":"Department of Statistics, Afyon Kocatepe University, Afyonkarahisar, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yetkin","family":"Tua\u00e7","sequence":"additional","affiliation":[{"name":"Department of Statistics, Ankara University, Ankara, 06100, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ol\u00e7ay","family":"Arslan","sequence":"additional","affiliation":[{"name":"Department of Statistics, Ankara University, Ankara, 06100, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2022,3,31]]},"reference":[{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB001","DOI":"10.1016\/j.is.2015.04.007"},{"key":"S2424922X2250005XBIB002","volume-title":"gridExtra: Miscellaneous functions for grid graphics. R package version","volume":"2","author":"Auguie B.","year":"2017"},{"key":"S2424922X2250005XBIB003","first-page":"1","author":"Banerjee T.","year":"2021","journal-title":"J. Publ. Health"},{"key":"S2424922X2250005XBIB005","first-page":"359","volume-title":"KDD Workshop","author":"Berndt D. J.","year":"1994"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB007","DOI":"10.1016\/j.engappai.2010.09.007"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB008","DOI":"10.18637\/jss.v031.i07"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB009","DOI":"10.1016\/j.spasta.2020.100480"},{"key":"S2424922X2250005XBIB010","first-page":"1","volume-title":"3rd Workshop Mining Temporal and Sequential Data, in Conjunction with 10th ACM SIGKDD Int. Conf. Knowledge Discovery and Data Mining (KDD-2004)","author":"Keogh E.","year":"2004"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB012","DOI":"10.3390\/jcm9020538"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB013","DOI":"10.1016\/j.chaos.2020.109917"},{"key":"S2424922X2250005XBIB014","first-page":"1","volume":"62","author":"Montero P.","year":"2015","journal-title":"J. Stat. Softw."},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB015","DOI":"10.32614\/RJ-2016-058"},{"volume-title":"Time Warps, String Edits, and Macromolecules: The Theory and Practice of Sequence Comparison","year":"1983","author":"Sankoff D.","key":"S2424922X2250005XBIB016"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB018","DOI":"10.1016\/j.heliyon.2020.e03747"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB020","DOI":"10.1007\/978-0-387-98141-3"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB021","DOI":"10.21105\/joss.01686"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB026","DOI":"10.1016\/j.dib.2020.105787"},{"doi-asserted-by":"publisher","key":"S2424922X2250005XBIB027","DOI":"10.3390\/jcm9020388"}],"container-title":["Advances in Data Science and Adaptive Analysis"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S2424922X2250005X","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T08:53:54Z","timestamp":1651827234000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/10.1142\/S2424922X2250005X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":18,"journal-issue":{"issue":"01n02","published-print":{"date-parts":[[2022,1]]}},"alternative-id":["10.1142\/S2424922X2250005X"],"URL":"https:\/\/doi.org\/10.1142\/s2424922x2250005x","relation":{},"ISSN":["2424-922X","2424-9238"],"issn-type":[{"type":"print","value":"2424-922X"},{"type":"electronic","value":"2424-9238"}],"subject":[],"published":{"date-parts":[[2022,1]]},"article-number":"2250005"}}